Related Experiment Video
Updated: May 2, 2026

09:29
A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
Published on: February 11, 2014
13.0K
Design and Validation of a Tripping-Eliciting Platform Based on Compliant Random Obstacles
Eugenio Anselmino1, Lorenzo Pittoni2, Tommaso Ciapetti3
1Department of Excellence in Robotics and AI, Scuola Superiore Sant'AnnaThe BioRobotics Institute 56127 Pisa Italy.
IEEE Open Journal of Engineering in Medicine and Biology
|December 19, 2024
Summary
Researchers developed a novel tripping perturbation system to study stumble phenomena. This versatile platform delivers realistic, unanticipated trips, aiding the development of safety technologies for at-risk individuals.
Area of Science:
- Biomechanics
- Human movement science
- Robotics
Background:
- Understanding stumble phenomena is crucial for developing safety technologies.
- Existing methods for studying tripping lack realistic and controllable perturbations.
- At-risk populations require effective interventions against harmful effects of stumbles.
Purpose of the Study:
- To create a versatile platform for delivering realistic and unanticipated tripping perturbations.
- To enable controlled studies on the biomechanics of stumbling.
- To facilitate the development of technological solutions for fall prevention.
Main Methods:
- A modular tripping-eliciting system was designed using multiple compliant trip blocks.
- The system was validated through an experimental study involving 9 healthy subjects.
- Perturbation strength and timing were controlled to elicit realistic tripping events.
Main Results:
- The system successfully delivered 33 out of 34 planned perturbations.
- 31 perturbations effectively induced tripping events in subjects.
- Limited subject adaptation to perturbations was observed, consistent with literature.
Conclusions:
- The developed platform provides realistic trip perturbations while minimizing subject adaptation.
- The system's modularity and tunable parameters offer a novel approach to studying stumbling.
- This technology can be adapted for various applications in human movement analysis and safety research.

